Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122A35933411935274437C6D530A55B3BE2A69E4FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:joAZRILz4NP/y9svbliCd0ap1FtiuCa28y2O9:cdmA7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b813c78cdc6d3632 |
|
VISUAL
aHash
|
ff1e868f8f9ff3ff |
|
VISUAL
dHash
|
f2b81c3434361398 |
|
VISUAL
wHash
|
3f1c008e8e97c1fe |
|
VISUAL
colorHash
|
07000e00010 |
|
VISUAL
cropResistant
|
f2b81c3434361398,266425e5a5a5a1d2,ca62337322132a2a,d2d8c3d3d2d292b2 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.